AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study

•Early identification of severe outcome risks in COVID-19 patient.•3 AI algorithms using handcrafted features or deep neuronal networks.•Extensive evaluation on a novel dataset including 820 patient’s data.•Presentation of COVID-19-specific signature integrating imaging/clinical data. [Display omitt...

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Veröffentlicht in:	Medical image analysis 2021-12, Vol.74, p.102216-102216, Article 102216
Hauptverfasser:	Soda, Paolo, D’Amico, Natascha Claudia, Tessadori, Jacopo, Valbusa, Giovanni, Guarrasi, Valerio, Bortolotto, Chandra, Akbar, Muhammad Usman, Sicilia, Rosa, Cordelli, Ermanno, Fazzini, Deborah, Cellina, Michaela, Oliva, Giancarlo, Callea, Giovanni, Panella, Silvia, Cariati, Maurizio, Cozzi, Diletta, Miele, Vittorio, Stellato, Elvira, Carrafiello, Gianpaolo, Castorani, Giulia, Simeone, Annalisa, Preda, Lorenzo, Iannello, Giulio, Del Bue, Alessio, Tedoldi, Fabio, Alí, Marco, Sona, Diego, Papa, Sergio
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence COVID-19 Deep learning Prognosis
Online-Zugang:	Volltext
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